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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 1201–1210 of 1773 papers

TitleStatusHype
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models—0
Understanding Pre-Editing for Black-Box Neural Machine Translation—0
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English—0
Unfolding and Shrinking Neural Machine Translation Ensembles—0
Unified Model Learning for Various Neural Machine Translation—0
Unified NMT models for the Indian subcontinent transcending script-barriers—0
Unified NMT models for the Indian subcontinent, transcending script-barriers—0
Universal Conditional Masked Language Pre-training for Neural Machine Translation—0
Universal Vector Neural Machine Translation With Effective Attention—0
University of Rochester WMT 2017 NMT System Submission—0
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